An Image-Based Method for Automatic Crack Detection for the Mechanical Test of Clinch Joints

Kai Zeng; Xiao Cong He; Cheng Jiang Deng; Hui Yan Yang; Sen Zhou; En Liu

doi:10.4028/www.scientific.net/AMM.457-458.629

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 457-458An Image-Based Method for Automatic Crack...

An Image-Based Method for Automatic Crack Detection for the Mechanical Test of Clinch Joints

Abstract:

Clinching is a cold forming process for hard-to-weld materials joining in the field of automobile lightweight design and manufacture. The automatic crack detection for clinch joints in the loading test is an important monitor process. In this paper, the method of automatic crack detection on clinch joints by using digital image analysis technology was presented, and an image acquisition and processing platform coupled with a single shear pulling test machine was introduced. In order to insure the real-time of the calculation, multiple scan lines perpendicular to the potential crack strip was set, and threshold segmentation and edge detection with Sobel operator was used in the analysis. Results showed that the analysis procedure proposed in this paper is available for automatic crack detection for the loading of clinch joints and can get high computer speed.

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Periodical:

Applied Mechanics and Materials (Volumes 457-458)

Pages:

629-632

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.457-458.629

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Online since:

October 2013

Authors:

Kai Zeng*, Xiao Cong He, Cheng Jiang Deng, Hui Yan Yang, Sen Zhou, En Liu

Keywords:

Clinch Joints, Crack Detection, Image Threshold Segmentation, Scan Lines

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* - Corresponding Author

References

[1] He X C, Recent development in finite element analysis of clinched joints, International Journal of Advanced Manufacturing Technology, 48 (2010), 607-612.

DOI: 10.1007/s00170-009-2306-2

Google Scholar

[2] Zheng Junchao, He Xiaocong, Finite element analysis of energy saving jointing method base on energy materials: Clinching, Advanced Materials Research, 577 (2012), 9-12.

DOI: 10.4028/www.scientific.net/amr.577.9

Google Scholar

[3] Feng mosheng, He Xiaocong, Xing Baoying, The analysis of fatigue crack propagation and experiment research of clinched joints. Materials review, 5(2012), 140-143.

Google Scholar

[4] Qiu Xuanbing, Li Gang, Wei Jilin, Wei Cao, A method of crack defects real-time image enhancement in continuous casting billet, 2012 Symposium on Photonics and Optoelectronics, SOPO (2012).

DOI: 10.1109/sopo.2012.6270558

Google Scholar

[5] Li Gang, He Shuanhai, Ju Yongfeng, Image-based method for concrete bridge crack detection, Journal of Information and Computational Science, 8(2013), 2229-2236.

DOI: 10.12733/jics20101784

Google Scholar